Eq. (REF ) computes representations \(H_{v}^{\ell }\)  for
all nodes \(v\)  in a graph \(\mathcal {G}\)  in every layer \(\ell \)  and
Eq. (REF ) readouts the whole graph representation \(H_{\mathcal {G}}\) ,
where \(\mathcal {P}(v)\)  denotes the set of direct predecessors of
\(v,\mathcal {T}\)  denotes the set of nodes without successors, and
\(G^{\ell }(\cdot ),F^{\ell }(\cdot )\) , and \(R(\cdot )\)  are parameterized
neural networks [1]}.
